Open AccessQuadcopter Based Object Detection and Localization
Author(s) -
Malik Abdulrazzaq Alsaedi,
Бараа М. Албакер,
Hussein Ali Dawood,
Haider abd aoun,
Zeyad kamel tayeh
Publication year - 2017
Publication title -
al-mağallaẗ al-ʿirāqiyyaẗ li-l-ḥāsibāt wa-al-maʿlūmāt/iraqi journal for computers and informatics
Language(s) - English
Resource type - Journals
eISSN - 2520-4912
pISSN - 2313-190X
DOI - 10.25195/ijci.v43i1.75
Subject(s) - quadcopter , computer science , computer vision , frame (networking) , global positioning system , microcontroller , real time computing , controller (irrigation) , artificial intelligence , object (grammar) , assisted gps , heading (navigation) , embedded system , computer hardware , engineering , computer network , telecommunications , agronomy , biology , aerospace engineering
This paper presents the development and integration of an X-configuration quadcopter with an IP camera for objectdetection based on the color of an object. A KK2 microcontroller is used to control the quadcopter movements. The controller has builtingyros that provide heading rate information, which are used to control the movement of the quadcopter. The parts of the whole UAV are selectedand integrated. The calibration processes are handled after installing necessary controller codes. This is to make quadcopter fly moothly according to its set commands. The IP camera is then attached to the quadcopter frame. Mobile camera with GPS receiver is used for objectdetection and localization. Images are captured from the IP camera; the three-dimensional position information for the quadcopter is recorded by the GPS receiver, and then the whole data are sent repeatedly from the Mobile to a ground station computer via wireless communication link. Two algorithms are next implemented to acquire and analyze the Images received form the IP camera. The results show that the images was captured and analyzed successfully, and the objects were detected according to their color and its approximate position was reported.